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Channel
🏠全台安全旅館區🎇
@bznansiri925
On this record: Growth · Engagement · Posts · Citations · Cite this entry
187subscribers
-7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001381718694 |
|---|---|
| Type | Channel |
| Username | @bznansiri925 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 2 times, most recently 2 September 2026 |
| On Telegram | t.me/bznansiri925 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Aug 2026, 17:24 | 187 | -3 |
| 20 Aug 2026, 11:42 | 190 | -1 |
| 14 Aug 2026, 05:18 | 191 | -3 |
| 7 Aug 2026, 06:02 | 194 | no change |
| 7 Aug 2026, 02:01 | 194 | first reading |
Engagement
9 posts held, back to 2 November 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 18 May 2025. An engagement rate over an empty window would be a number about nothing.
Recent posts
#新北 🏠名字:薇薇 🏨地址:蘆洲區永安北路二段42之1號 ☎️電話:02 8285 6633 💰價位:1080
#高雄 🏠名字:御宿 🏨地址:三民區九如三路58號 ☎️電話:07-311-0959 💰價位:不明
#中區 🏠名字:雅樂軒 🏨地址:中山區雙城街1號 ☎️電話:02-7743-9999 💰價位:不明
#中區 🏠名字:雀客 🏨地址:中區市府路66號 ☎️電話:04-3706-2680 💰價位:不明
#中正 🏠名字:格拉斯麗 🏨地址:中正區忠孝東路二段89號3樓 ☎️電話:02-2322-0111 💰價位:1500(6h)
#中山 🏠名字:昇美 🏨地址:中山區新生北路二段25號 ☎️電話:02-2511-1399 💰價位:600(2h)
#新莊 🏠名字:馥華 🏨地址:新莊區大觀街60號 ☎️電話:02-8991-1278 💰價位:600(3h)
#中正 🏠名字:柯達 🏨地址:台北市中山區中山北路一段53巷22號 ☎️電話:02-2581-2222 💰價位:1680(4h)Funnow預約
Showing the 9 most recent of 9 posts we hold for @bznansiri925. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Mentions
Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 26 August 2026 — this entry's latest reading, not the date you are reading this.
“🏠全台安全旅館區🎇” (@bznansiri925), 187 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/bznansiri925.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.